Inderjit S. Dhillon

	2009
52		Meghana Deodhar, Gunjan Gupta, Joydeep Ghosh, Hyuk Cho, Inderjit S. Dhillon: A scalable framework for discovering coherent co-clusters in noisy data. ICML 2009: 31
51		Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon: Geometry-aware metric learning. ICML 2009: 85
50		Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon: A spatio-temporal approach to collaborative filtering. RecSys 2009: 13-20
49		Pavel Berkhin, Inderjit S. Dhillon: Knowledge Discovery: Clustering. Encyclopedia of Complexity and Systems Science 2009: 5051-5064
48		Raghu Meka, Prateek Jain, Inderjit S. Dhillon: Guaranteed Rank Minimization via Singular Value Projection CoRR abs/0909.5457: (2009)
	2008
47		Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk Cho, Inderjit S. Dhillon: Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets. ICDM Workshops 2008: 654-663
46		Raghu Meka, Prateek Jain, Constantine Caramanis, Inderjit S. Dhillon: Rank minimization via online learning. ICML 2008: 656-663
45		Jason V. Davis, Inderjit S. Dhillon: Structured metric learning for high dimensional problems. KDD 2008: 195-203
44		Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kristen Grauman: Online Metric Learning and Fast Similarity Search. NIPS 2008: 761-768
43		Prateek Jain, Raghu Meka, Inderjit S. Dhillon: Simultaneous Unsupervised Learning of Disparate Clusterings. SDM 2008: 858-869
42		Hyuk Cho, Inderjit S. Dhillon: Coclustering of Human Cancer Microarrays Using Minimum Sum-Squared Residue Coclustering. IEEE/ACM Trans. Comput. Biology Bioinform. 5(3): 385-400 (2008)
41		Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon: Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem. Statistical Analysis and Data Mining 1(1): 38-51 (2008)
40		Prateek Jain, Raghu Meka, Inderjit S. Dhillon: Simultaneous Unsupervised Learning of Disparate Clusterings. Statistical Analysis and Data Mining 1(3): 195-210 (2008)
	2007
39		Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon: Information-theoretic metric learning. ICML 2007: 209-216
38		Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon: Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem. SDM 2007
37		Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis: Weighted Graph Cuts without Eigenvectors A Multilevel Approach. IEEE Trans. Pattern Anal. Mach. Intell. 29(11): 1944-1957 (2007)
	2006
36		Brian Kulis, Mátyás Sustik, Inderjit S. Dhillon: Learning low-rank kernel matrices. ICML 2006: 505-512
35		Jason V. Davis, Inderjit S. Dhillon: Estimating the global pagerank of web communities. KDD 2006: 116-125
34		Jason V. Davis, Inderjit S. Dhillon: Differential Entropic Clustering of Multivariate Gaussians. NIPS 2006: 337-344
33		Justin Brickell, Inderjit S. Dhillon, Dharmendra S. Modha: Adaptive Website Design Using Caching Algorithms. WEBKDD 2006: 1-20
32		Inderjit S. Dhillon, Beresford N. Parlett, Christof Vömel: The design and implementation of the MRRR algorithm. ACM Trans. Math. Softw. 32(4): 533-560 (2006)
	2005
31		Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney: Semi-supervised graph clustering: a kernel approach. ICML 2005: 457-464
30		Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis: A fast kernel-based multilevel algorithm for graph clustering. KDD 2005: 629-634
29		Inderjit S. Dhillon, Suvrit Sra: Generalized Nonnegative Matrix Approximations with Bregman Divergences. NIPS 2005
28		Joel A. Tropp, Inderjit S. Dhillon, Robert W. Heath Jr., Thomas Strohmer: Designing structured tight frames via an alternating projection method. IEEE Transactions on Information Theory 51(1): 188-209 (2005)
27		Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra: Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. Journal of Machine Learning Research 6: 1345-1382 (2005)
26		Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh: Clustering with Bregman Divergences. Journal of Machine Learning Research 6: 1705-1749 (2005)
25		Paolo Bientinesi, Inderjit S. Dhillon, Robert A. van de Geijn: A Parallel Eigensolver for Dense Symmetric Matrices Based on Multiple Relatively Robust Representations. SIAM J. Scientific Computing 27(1): 43-66 (2005)
24		Inderjit S. Dhillon, Beresford N. Parlett, Christof Vömel: Glued Matrices and the MRRR Algorithm. SIAM J. Scientific Computing 27(2): 496-510 (2005)
	2004
23		Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu: An information theoretic analysis of maximum likelihood mixture estimation for exponential families. ICML 2004
22		Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha: A generalized maximum entropy approach to bregman co-clustering and matrix approximation. KDD 2004: 509-514
21		Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis: Kernel k-means: spectral clustering and normalized cuts. KDD 2004: 551-556
20		Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp: Triangle Fixing Algorithms for the Metric Nearness Problem. NIPS 2004
19		Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh: Clustering with Bregman Divergences. SDM 2004
18		Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvrit Sra: Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data. SDM 2004
17		Joel A. Tropp, Inderjit S. Dhillon, Robert W. Heath Jr.: Finite-Step Algorithms for Constructing Optimal CDMA Signature Sequences. IEEE Transactions on Information Theory 50(11): 2916-2921 (2004)
	2003
16		Inderjit S. Dhillon, Yuqiang Guan: Information Theoretic Clustering of Sparse Co-Occurrence Data. ICDM 2003: 517-520
15		Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra: Generative model-based clustering of directional data. KDD 2003: 19-28
14		Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha: Information-theoretic co-clustering. KDD 2003: 89-98
13		Inderjit S. Dhillon, Edward M. Marcotte, Usman Roshan: Diametrical clustering for identifying anti-correlated gene clusters. Bioinformatics 19(13): 1612-1619 (2003)
12		Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar: A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification. Journal of Machine Learning Research 3: 1265-1287 (2003)
	2002
11		Inderjit S. Dhillon, Yuqiang Guan, J. Kogan: Iterative Clustering of High Dimensional Text Data Augmented by Local Search. ICDM 2002: 131-138
10		Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar: Enhanced word clustering for hierarchical text classification. KDD 2002: 191-200
9		Inderjit S. Dhillon, Dharmendra S. Modha, W. Scott Spangler: Class visualization of high-dimensional data with applications. Computational Statistics & Data Analysis 41(1): 59-90 (2002)
	2001
8		Inderjit S. Dhillon: Co-clustering documents and words using bipartite spectral graph partitioning. KDD 2001: 269-274
7		Inderjit S. Dhillon, Dharmendra S. Modha: Concept Decompositions for Large Sparse Text Data Using Clustering. Machine Learning 42(1/2): 143-175 (2001)
	1999
6		Inderjit S. Dhillon, Dharmendra S. Modha: A Data-Clustering Algorithm on Distributed Memory Multiprocessors. Large-Scale Parallel Data Mining 1999: 245-260
	1997
5		Inderjit S. Dhillon, George Fann, Beresford N. Parlett: Application of a New Algorithm for the Symmetric Eigenproblem to Computational Quantum Chemistry. PPSC 1997
4		L. Susan Blackford, Jaeyoung Choi, Andrew J. Cleary, Eduardo F. D'Azevedo, James Demmel, Inderjit S. Dhillon, Jack Dongarra, Sven Hammarling, Greg Henry, Antoine Petitet, Ken Stanley, David W. Walker, R. Clinton Whaley: ScaLAPACK: A Linear Algebra Library for Message-Passing Computers. PPSC 1997
3		L. Susan Blackford, Andrew J. Cleary, Antoine Petitet, R. Clinton Whaley, James Demmel, Inderjit S. Dhillon, H. Ren, Ken Stanley, Jack Dongarra, Sven Hammarling: Practical Experience in the Numerical Dangers of Heterogeneous Computing. ACM Trans. Math. Softw. 23(2): 133-147 (1997)
	1996
2		Andrew J. Cleary, James Demmel, Inderjit S. Dhillon, Jack Dongarra, Sven Hammarling, Antoine Petitet, H. Ren, Ken Stanley, R. Clinton Whaley: Practical Experience in the Dangers of Heterogeneous Computing. PARA 1996: 57-64
	1995
1		Jaeyoung Choi, James Demmel, Inderjit S. Dhillon, Jack Dongarra, Susan Ostrouchov, Antoine Petitet, Ken Stanley, David W. Walker, R. Clinton Whaley: ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance. PARA 1995: 95-106

Coauthor Index

1	Deepak Agarwal	[50]
2	Arindam Banerjee	[15] [19] [22] [23] [26] [27]
3	Sugato Basu	[31]
4	Pavel Berkhin	[49]
5	Paolo Bientinesi	[25]
6	L. Susan Blackford	[3] [4]
7	Justin Brickell	[33]
8	Constantine Caramanis	[46]
9	Hyuk Cho	[18] [42] [47] [52]
10	Jaeyoung Choi	[1] [4]
11	Andrew J. Cleary	[2] [3] [4]
12	Eduardo F. D'Azevedo	[4]
13	Jason V. Davis	[34] [35] [39] [45]
14	James Demmel	[1] [2] [3] [4]
15	Meghana Deodhar	[47] [52]
16	Jack Dongarra	[1] [2] [3] [4]
17	George Fann	[5]
18	Robert A. van de Geijn	[25]
19	Joydeep Ghosh	[15] [19] [22] [23] [26] [27] [47] [52]
20	Kristen Grauman	[44]
21	Yuqiang Guan	[11] [16] [18] [21] [30] [37]
22	Gunjan Gupta	[47] [52]
23	Sven Hammarling	[2] [3] [4]
24	Robert W. Heath Jr.	[17] [28]
25	Greg Henry	[4]
26	Prateek Jain	[39] [40] [43] [44] [46] [48] [51]
27	Dongmin Kim	[38] [41]
28	J. Kogan	[11]
29	Brian Kulis	[21] [30] [31] [36] [37] [39] [44]
30	Rahul Kumar	[10] [12]
31	Zhengdong Lu	[50] [51]
32	Subramanyam Mallela	[10] [12] [14]
33	Edward M. Marcotte	[13]
34	Raghu Meka	[40] [43] [46] [48]
35	Srujana Merugu	[19] [22] [23] [26]
36	Dharmendra S. Modha	[6] [7] [9] [14] [22] [33]
37	Raymond J. Mooney	[31]
38	Susan Ostrouchov	[1]
39	Beresford N. Parlett	[5] [24] [32]
40	Antoine Petitet	[1] [2] [3] [4]
41	H. Ren	[2] [3]
42	Usman Roshan	[13]
43	W. Scott Spangler	[9]
44	Suvrit Sra	[15] [18] [20] [27] [29] [38] [39] [41]
45	Ken Stanley	[1] [2] [3] [4]
46	Thomas Strohmer	[28]
47	Mátyás Sustik	[36]
48	Joel A. Tropp	[17] [20] [28]
49	Christof Vömel	[24] [32]
50	David W. Walker	[1] [4]
51	R. Clinton Whaley	[1] [2] [3] [4]

Colors in the list of coauthors